Case Studies
Real problems, real systems, real outcomes.
These are honest accounts of operational problems we encountered, what we built, and what changed. No inflated numbers.
Problem
A mid-size real estate investment firm was tracking deals across a mix of spreadsheets, a generic CRM, and individual email threads. Leads were falling through gaps between tools. No one had a clear view of deal stage at any point in the pipeline.
Context
The team had tried configuring Salesforce twice and abandoned it both times. The problem wasn't the software — it was that the software wasn't built around how they actually worked deals.
What Was Built
A custom deal pipeline system structured around their specific stages: initial contact, investor qualification, due diligence, term sheet, and close. Each stage had structured data requirements and automated follow-up triggers. The system integrated with their existing calendar and email.
Outcome
The team had a single source of truth for every active deal. Follow-ups stopped being manual. New team members could onboard into the pipeline without needing a process walkthrough.
Problem
A specialty clinic was manually entering patient intake data into two systems — their EMR and a billing platform that didn't integrate with it. Staff were spending significant time on data reconciliation daily, and errors were common.
Context
The clinic had evaluated two integration tools but found neither handled the specific data format their EMR exported. The reconciliation work was considered unavoidable.
What Was Built
A data integration layer that automated the sync between the EMR and billing system, handling the format translation the off-the-shelf tools couldn't. Built with validation rules that flagged discrepancies rather than silently passing bad data.
Outcome
Manual reconciliation was eliminated. The validation layer surfaced data issues that had previously gone undetected and been corrected only when billing rejected claims.
Problem
A fintech company failed an internal compliance audit due to inconsistent KYC data across customer records. Onboarding had been done through a form that didn't enforce required fields, and no audit trail existed for document submission.
Context
The existing onboarding flow was a third-party form embedded in their product. It had been sufficient early on but didn't enforce the structured data collection compliance required.
What Was Built
A compliance-grade onboarding system with enforced field validation, document upload with hash verification, and a complete audit trail for every onboarding event. Integrated with their internal review workflow.
Outcome
The next compliance review passed. The audit trail made the review process faster because documentation was structured and searchable rather than scattered across email and cloud storage.
Have a similar problem?
Describe the operational constraint. We'll be direct about whether it's something we can fix.
Book a Strategy Call